What is Data Augmentation in Deep Learning and why is it important for generalization?

Data augmentation artificially increases dataset diversity by applying transformations to training data, improving model generalization.

Deep learning models require large and diverse datasets to generalize well. Data augmentation helps simulate additional training examples by transforming existing data.

Core idea:

Types:

Why it works: